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Braz. j. med. biol. res ; 38(2): 227-235, fev. 2005. ilus, tab
Article Dans Anglais | LILACS | ID: lil-393643

Résumé

In order to assess the effect of air pollution on pediatric respiratory morbidity, we carried out a time series study using daily levels of PM10, SO2, NO2, ozone, and CO and daily numbers of pediatric respiratory emergency room visits and hospital admissions at the Children's Institute of the University of São Paulo Medical School, from August 1996 to August 1997. In this period there were 43,635 hospital emergency room visits, 4534 of which were due to lower respiratory tract disease. The total number of hospital admissions was 6785, 1021 of which were due to lower respiratory tract infectious and/or obstructive diseases. The three health end-points under investigation were the daily number of emergency room visits due to lower respiratory tract diseases, hospital admissions due to pneumonia, and hospital admissions due to asthma or bronchiolitis. Generalized additive Poisson regression models were fitted, controlling for smooth functions of time, temperature and humidity, and an indicator of weekdays. NO2 was positively associated with all outcomes. Interquartile range increases (65.04 æg/m ) in NO2 moving averages were associated with an 18.4 percent increase (95 percent confidence interval, 95 percent CI = 12.5-24.3) in emergency room visits due to lower respiratory tract diseases (4-day moving average), a 17.6 percent increase (95 percent CI = 3.3-32.7) in hospital admissions due to pneumonia or bronchopneumonia (3-day moving average), and a 31.4 percent increase (95 percent CI = 7.2-55.7) in hospital admissions due to asthma or bronchiolitis (2-day moving average). The study showed that air pollution considerably affects children's respiratory morbidity, deserving attention from the health authorities.


Sujets)
Humains , Enfant , Pollution de l'air/effets indésirables , Service hospitalier d'urgences/statistiques et données numériques , Admission du patient/statistiques et données numériques , Maladies de l'appareil respiratoire/étiologie , Brésil/épidémiologie , Loi de Poisson , Études prospectives , Analyse de régression , Maladies de l'appareil respiratoire/épidémiologie
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